Why zero disruption matters for Australian banks

From core banking platforms and trading systems to mobile apps and branch networks, Australian banks depend on highly connected, always‑on digital environments. Disruption is not just about major outages; it often starts with slow applications, intermittent connectivity or blind spots that quietly erode productivity and increase risk. Each so-called “minor” issue generates tickets, stretches IT teams and distracts them from strategic work such as risk reduction and the introduction of new digital services.

Ģ������Ƶ’s Zero Disruption approach changes that equation. Instead of waiting for employees or customers to report problems, banks can continuously observe what is happening across endpoints, applications and networks. This makes it possible to understand where issues are emerging, how they are affecting people and what action is needed before any disruption occurs.

Tools like Aternity Replay combine actual employee experience with full telemetry, letting IT teams see exactly what staff experienced on any web or SaaS application and cut resolution time from days to minutes, without forcing error reproduction or expecting employees to step the help desk through what happened.

A global platform with financial‑services pedigree

Ours is a global company, operating in 88 countries, with thousands of market‑leading customers including 95% of the Fortune 100 and 83% of the Forbes Global 500. Financial services is one of Ģ������Ƶ’s key industries, giving confidence that our platform is proven in highly regulated, mission‑critical environments.

And this experience has already translated into real‑world outcomes:

• One large financial services organisation saved millions of dollars through AI-driven automation on the Ģ������Ƶ Ģ������Ƶ, which drastically reduced both incident cost and manual troubleshooting effort.
• A major American organisation managed to cut their spend by identifying underutilised software licences and optimising licencing costs.
• One vital healthcare organisation was able to achieve significant cost savings by pinpointing devices that were not needed or not needing replacement in this financial year.
• With automated alerting, Halkbank saw a dramatic increase in availability on their mobile platform over the past two years, despite more than double the volume of traffic.
• Arab National Bank was able to align its business objectives and fully prepare for a critical system upgrade thanks to complete backend visibility for its migration.

Doing more with less through AI and automation

By going deeper into endpoints, applications and networks, Ģ������Ƶ helps banks move beyond anecdotal complaints to quantifiable trends and insights. This makes it possible to prioritise remediation and automation where it matters most, focus investments where they will deliver the greatest impact and safely build confidence in more autonomous operations.

Ģ������Ƶ customers worldwide are already running AI at massive scale, with 22 million monthly automations, 8.3 million monthly remediations and 300 million annualised automations. For banks, this means routine problems – from device‑level fixes and SaaS performance issues to configuration changes – can be resolved consistently by the platform, freeing engineers to focus on higher‑value work.

Of course, human judgement remains central for complex, high‑risk changes, but AI‑driven remediation reduces the time spent on repetitive tasks and helps teams support more endpoints and applications without a resultant growth in costs.

Turning global experience into local business cases

Boards and executive teams in Australian banks rightly expect technology investments to be backed by clear value stories and robust ROI calculations. Ģ������Ƶ can help you build those stories using peer use cases and proven business cases from banks and enterprises around the world. This includes concrete metrics such as numbers of automations achieved, cost savings per person, reduction in licence spend, asset refresh optimisation and incident‑related cost avoidance.

A structured journey moves organisations from interest to investment. Ģ������Ƶ runs targeted discovery workshops that bring peer use cases and proven business cases into the room, then works with stakeholders to quantify ROI, risk reduction and cost optimisation. Together, we can help you build board‑ready proposals in weeks rather than months, grounded in real‑world examples such as remediation savings or licence optimisation – all aligned directly with your organisation’s own environment and strategic priorities.

Connecting Australian banks with global peers

Ģ������Ƶ’s customer base is not just a pretty set of logos; it is a network of peers from whom Australian banks can learn. For example, Ģ������Ƶ is working with a large bank that plans to increase spend from US$800,000 to US$1.5 million for AIOps with Aternity 360 in a tight fiscal environment, based on demonstrated value. Ģ������Ƶ has connected that bank with a large global bank so they can use each other’s business cases at board level, sharing insights on which use cases landed best, how ROI was quantified and how stakeholders were engaged.

Australian banks can now tap into this rich network to validate their own strategies and explore relevant use cases before committing to investment. Whether it’s understanding how peers approached tools consolidation, licence optimisation or network blind‑spot mitigation, Ģ������Ƶ can facilitate conversations that turn global experience into local advantage.

Learn about Ģ������Ƶ’s targeted Zero Disruption discovery workshops for financial institutions by booking a meeting or reading more.

But as digital environments become more complex, disruption is no longer limited to major outages. It often starts with small interruptions: a slow application, a dodgy device or a network issue at a remote site. Each one may seem minor by itself, but at scale these issues erode productivity, increase demand on IT teams and distract people from the work that matters.

For resource companies, the next step is not just about faster issue resolution. It’s about moving towards a zero-disruption future, where problems are identified, understood and resolved before they affect their employees, operations or safety.

Disruption is a productivity issue

In the resources sector, productivity depends on smooth work flows across highly connected environments. Operational teams, field workers, engineers, IT teams and business functions all rely on digital systems to make decisions, manage assets and keep things moving.

When workflows are disrupted, the impact spreads quickly. Employees get annoyed and lose focus, IT tickets increase and support teams are pulled into reactive troubleshooting. Over time, this creates drag across the organisation, slowing operations and diverting IT teams and workers alike from higher-value work.

The new zero-disruption paradigm

Ģ������Ƶ’s new zero-disruption approach changes the equation. Instead of waiting for employees to report problems, IT can continuously observe what is happening across endpoints, applications and networks. This makes it possible to understand where issues are emerging, how they are affecting people and what action is needed before any disruption occurs.

This is achieved by bringing together autonomous intelligence – the foundation for zero-disruption – with AI observability, deep insights into the application and digital employee experience (DEX) plus a strong data foundation with high-frequency data analytics and accelerated AI data movement.

If you don’t know what your employees are experiencing and if you don’t know how your apps and networks are behaving, you’re basically in the dark. And paying for it.

Cost savings are about prevention, not just responding

Why this matters? Resource companies are under constant pressure to make considered investment decisions. Digital initiatives need to show measurable value, align with operational and strategic priorities and contribute to efficiency across the organisation.

Zero disruption supports that goal by reducing the cost of avoidable downtime, repeated troubleshooting and manual remediation. When IT teams can identify root cause faster, automate the right response and prevent recurring issues, they spend less time reacting and more time improving the digital environment.

This is where full-fidelity telemetry matters. Ģ������Ƶ brings together visibility across devices, applications and networks, helping organisations move beyond fragmented data and anecdotal experience. With a unified data store and intelligence layer, teams can correlate what changed, how it was experienced and what needs to happen next. All without asking the employee to step the help desk through what went wrong.

AI also has an important role to play, but only when it is grounded in complete, high-quality data and governed by clear controls. Ģ������Ƶ’s approach allows organisations to automate at their own pace, moving from guided action to more autonomous operations as confidence grows.

Safety depends on reliable digital experience

In the resources sector, employee experience is not just a workplace technology issue. It’s a direct connection to safety, operational reliability and the ability to make timely decisions.

When employees are working in remote, mobile or high-risk environments, digital disruption can create frustration, delay and uncertainty. A poor connection, an unreliable application or unresolved device issue can slow down communication and pull your employees away from critical tasks.

A zero-disruption model helps reduce that risk. By identifying issues before employees even know there’s a problem, IT can support a safer, more connected workforce. Instead of asking employees to describe what happened after the fact, new tools such as Ģ������Ƶ Aternity Replay help IT see the experience more clearly, understand the impact and resolve issues without adding to the employee’s workload.

This matters because the goal is not simply fewer tickets. The goal is fewer disruptions. In a resources-sector context, that means keeping people connected, supported and focused wherever they work.

Better digital experience helps teams do more with less

Skills shortages and increasing operational complexity mean resource companies need technology that helps people work smarter. AI and automation can remove repetitive, labour-intensive tasks so employees can focus on higher-value work.

For IT teams, this means moving from reactive operations to autonomous operations. Ģ������Ƶ’s intelligence layer can continuously observe the digital environment, prioritise what matters and apply the right response within IT-defined guardrails. Human judgement remains available where it is needed, but routine issues can be handled faster and with greater consistency.

For employees, the experience becomes simpler. Instead of juggling tickets, dashboards and workarounds, they can receive proactive support through tools they already use. A conversational interface can surface an issue, explain what is happening and ask for approval to fix it when needed.

That is a very different employee digital experience. It shifts the burden away from the user and IT team and helps prevent disruption before it affects the workday.

Building the foundation for autonomous IT

For resource companies, the path to zero disruption starts with visibility, context and governance.

• Visibility means seeing across the full digital environment, including endpoints, applications and networks.
• Context means understanding not just that an issue occurred, but how it affected the employee experience.
• Governance means ensuring AI-driven action is safe, controlled and aligned with the organisation’s operating model.

With these foundations in place, resource companies can modernise IT operations while supporting the broader goals of digital transformation: greater efficiency, lower cost, safer work and a better employee experience.

The zero-disruption future is not about eliminating every IT ticket. It is about preventing issues before they become discernible problems, resolving them automatically where appropriate and giving IT teams the insights they need when human judgement is required.

For the resources sector, that is the next frontier of digital transformation: a connected, intelligent and prevention-first operating model that keeps people productive, helps control cost and supports safer work from pit to port.

Discover how Ģ������Ƶ can help your organisation move from reactive IT to a zero-disruption future.

Aligning digital strategy with purpose

In the resources industry, the digital transformation journey is anchored to a clear purpose–finding new and better ways to deliver the essential materials that society needs. This requires not just technological upgrades, but a continuous drive for operational improvement and a cultural shift towards openness. 

Embedding technology and data across the value chain

A key pillar of digital transformation is mapping and optimising the entire operational value chain, from extraction to processing and delivery. By adding digital overlays–such as real-time monitoring, automation systems and data platforms–organisations can make smarter, faster decisions that improve performance and reliability.

The “innovation vs core” conundrum

Successful digital transformation balances investment in core operations with exploration of new digital solutions. When weighing up the benefits of a new operational vehicle versus new technology, it’s about considering overall organisational budgets and benefits at the same time.

Structured business cases and clear metrics are needed to guide these investments and ensure that each digital initiative delivers value and aligns with both operational efficiency and innovation goals.

Building agile data governance

High-quality, well-governed data is the foundation of innovation in resources organisations. From asset management to predictive maintenance, robust data platforms and governance frameworks are essential for extracting actionable insights for operations and enabling advanced analytics and artificial intelligence to flourish.

Partnership and empowerment at all levels

Beyond bytes, digital success in the resources sector requires strong partnerships between business units and technology teams, fostering localised solutions that meet operational needs while encouraging the re-use of proven approaches. The most effective organisations also invest heavily in building digital capabilities across all levels of the workforce, empowering teams to drive change and adoption from within.

Navigating change: closing the gap between business and IT strategy

At the end of the day, transformation is not just about systems–culture and mindset shifts are also central. Coaching for digital upskilling, nurturing curiosity, and embedding IT advocates within business units help overcome resistance to change and accelerate technology adoption.

Future focus: connectivity and emerging technologies

Looking ahead, resource companies are prioritising improved connectivity (including remote sites) and investing in frontier technologies like quantum sensors, edge computing and decarbonisation solutions. These innovations align both with sustainability goals and with the global push for green materials and operations.

Lessons learned: ownership, inclusion and business alignment

One lasting lesson from digital leaders in the resources sector is the value of inclusive ownership: involving the entry level and junior roles as well as business leaders in transformation efforts unlocks deeper insights and ensures solutions are fit-for-purpose. Success depends as much on building strong partnerships and shared accountability as it does on technical skill.

Digital transformation in the resources sector is less about chasing technology trends and more about meaningful improvement, deep cultural alignment and sustainable value creation for organisations and society alike. Learn more about how Ģ������Ƶ supports complex, distributed operations with unified observability, AIOps and resilient connectivity—helping organisations operate more safely, efficiently and sustainably.

The Cost and Capital Conundrum

The resources industry has always been capital-intensive, but today’s environment is pushing costs to new heights. Labor and energy expenses are climbing, while the capital required to develop new projects continues to soar. This squeeze on margins is forcing companies to rethink traditional operating models. Here, automation and robotics are proving transformative. Autonomous vehicles and equipment, such as self-driving haul trucks and robotic loaders, are reducing reliance on manual labour, improving safety and enabling round-the-clock operations. Remote operation centers are also emerging as a game-changer, allowing specialists to manage multiple sites from urban locations, which not only improves work-life balance but also helps attract a new generation of talent.

Regulatory Pressures and the ESG Imperative

The regulatory environment is more complex than ever, with stringent compliance requirements adding layers of cost and uncertainty. At the same time, stakeholders—from investors to local communities—are demanding higher standards of ESG performance. Resources companies are under pressure to demonstrate responsible sourcing, reduce emissions, and operate transparently. Digital compliance tools are streamlining regulatory reporting, while the integration of renewable energy sources such as solar and wind is helping to decarbonise operations. Advanced water management systems and low-impact extraction methods, including biomining and in-situ recovery, are enabling miners to meet ambitious environmental targets and reduce waste.

Declining Resource Quality and the Search for Efficiency

As ore grades decline, extraction becomes more complex and costly, driving up energy use and waste. Artificial intelligence and data analytics are stepping in to fill the gap. AI-driven exploration is revolutionising how companies identify high-potential deposits, cutting both exploration time and costs. Digital twins and advanced analytics provide real-time visibility into operations, enabling scenario simulation and cross-team collaboration for strategic planning. Predictive maintenance, powered by real-time equipment data, is reducing unplanned downtime and maintenance expenses, further enhancing operational efficiency.

Geopolitical Instability and Supply Chain Resilience

Geopolitical tensions are fragmenting global supply chains, with export restrictions, political tensions, tariffs and shifting trade alliances creating new risks. The industry’s reliance on single markets, such as China, exposes it to sudden policy shifts and trade barriers. Data-driven scenario planning and supply chain analytics are helping companies anticipate disruptions and diversify their markets, building greater resilience into their operations.

Talent Shortages and Workforce Transformation

The resources industry faces acute skills shortages, particularly in areas like AI, robotics and sustainability. Attracting and retaining young talent remains a challenge, exacerbated by the industry’s outdated image. Digital transformation is shifting roles from the pit to the office, requiring new skills in data analysis, remote operations and technology management. Wearable safety technology and AI-powered monitoring are not only improving worker safety but also helping to reshape perceptions of mining as a high-tech, forward-looking industry.

Operational Efficiency and Safety in a Digital Age

Unplanned downtime and equipment failures continue to be costly, while safety risks persist in hazardous environments. The deployment of IoT sensors and private 5G networks is enabling real-time monitoring of equipment and personnel, supporting automation and enhancing safety. AI-powered safety monitoring is providing an additional layer of protection, ensuring that risks are identified and addressed before they escalate.

The Road Ahead

Technology is not a magic bullet, but it is rapidly becoming essential for resources companies that want to remain competitive, sustainable, and resilient in a volatile global environment. Those that embrace transformation and innovation—especially in digital experiences—will be best positioned to navigate the sector’s evolving challenges. The future of mining belongs to those who harness the power of technology to drive operational excellence, meet stakeholder expectations, and secure long-term growth.

Ready to learn more about how Ģ������Ƶ can help your enterprise redefine AIOps and Observability? Visit us at www.riverbed.com.

Automation, Internet of Things (IoT) devices and other applications are increasingly optimising various mining processes like the flow of ores, efficiency, transport, and extraction. By doing so, they are increasing the profitability of their operations as well as making mining more efficient. But to be able to effectively automate these processes, reliable and efficient network connectivity is crucial. One of the biggest challenges facing the resources industry and keeping them from operating efficiently is connectivity.

Most exploration and production sites are located in remote areas, where there is no readily available access to network infrastructure for digital communications or operations. Whilst operators navigate these connectivity challenges, these sites are pushing adoption of new digital technologies and IoT workflows, both to stay competitive and to meet increasingly stringent regulatory and compliance requirements. This means a growing assortment of network devices all competing for preciously little bandwidth, leading to network congestion and with failure becoming a recurring problem.

Ģ������Ƶ has partnered with several resources companies across continents to resolve their network infrastructure challenges, maximise the returns on their technology investments, and help them transition to modern smart operations.

The technology challenges weighing down the mining industry  

Regardless of the type of sub-surface or mining operation, in my experience, the majority of challenges operators face fall into a few distinct categories. Some of the most common ones include:

• Issues with integrating onsite IoT devices to the corporate network for real-time monitoring and decision making
• Lack of a single source of truth that can provide a bird’s eye view of operations status across the network
• Lapses in real-time infrastructure monitoring
• Meeting varying compliance requirements for operational health and safety in different regions
• Discovering where exactly to dig, drill or excavate to gain the maximum amount of viable crude oil or ore

Resources companies across the board are investing millions of dollars to develop technology solutions for these areas, but you’ll notice all these areas have one thing in common: they are all heavily dependent on having a responsive and stable underlying network to support them. Network connectivity and real-time monitoring have increasingly been used to support high-precision drilling, blast monitoring, and analytics to assist mining operations to optimise ore recovery.

Ģ������Ƶ to the rescue

We have implemented NPM solutions for several customers within the resources sector to help them realise ROI on their IoT and automation investments, while also improving the efficiency of their overall operations and enhancing the employee experience. One such example is the work we carried out for a mining transportation giant. This company operates across 150 sites globally, and in many respects, are ahead of the curve in technology. They are already using autonomous haulage to carry tons of ore out of mines to processing plants while also transporting huge amounts of hazardous materials to mining sites. As you can imagine, real-time tracking of these transport services carrying such risky cargo is a must. It’s not just about monitoring their location; safety and operations managers need to know the quantity of ores or hazardous goods being transported at any given time. They also need to check if the necessary health and safety protocols are being followed through loading, transportation, and post-unloading stages.

Ģ������Ƶ NPM helped them gain deeper visibility into their transport chain, so that at any given point they know the exact status of their operations, from mining to transportation through to processing.

Another example that comes to mind was an oil drilling company for whom we implemented Ģ������Ƶ NPM, Aternity and Arc GIS. This company operates rigs connected via geostationary VSAT satellites and utilises SaaS and on-prem applications running locally on servers that report back to data centre based applications. The rigs operate on a relatively low bandwidth between 1-2 Mbps and high latency of up to 750 milliseconds. Despite such low bandwidth and high latencies, we helped automate the monitoring of IT/OT systems and sensors across the infrastructure, so operators could assess if valves across multiple pipelines were open or shut when pumping out crude oil and if fuel was flowing as required. We helped them integrate all their sensors, devices, and operational technology onsite to give them an overarching view of their operations with Ģ������Ƶ NPM. All this information is made available to them on a real-time dashboard powered by Ģ������Ƶ NPM.

The results of network transformation

Our customers say their work-life has improved dramatically. They now look back and wonder how they were operating without Ģ������Ƶ NPM. Some of the most prominent benefits our resources industry customers have realised are:

• Greatly improved response times for resolving network and infrastructure issues
• Holistic visibility into the state of infrastructure at any given time
• Reduced time to identify and troubleshoot issues
• De-risking of their infrastructure
• Ensuring operational status of health and safety critical technology systems
• Achieving operational efficiency across the network
• Enhancing the precision of operational planning due to increased network visibility
• Setting the stage for increased automation and emerging technologies

It always helps to engage an expert to assess the state of things within your network infrastructure and plan out necessary actions. Get in touch with a Ģ������Ƶ consultant for a no-obligation consultation to explore how your organisation can transform its network to run critical operations seamlessly and reliably.